← Leaderboards
Rovshan G Sadygov
University Of Texas Med Br Galveston
$2,813,855
Attributed
$3,446,050
Total exposure
2
Grants
2
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants.
Funding over time
peak $387.4K · FY2015–25$500K$375K$250K$125K$0
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$3,446,050 · 2
By mechanism
R01$3,446,050 · 2
Top collaborators
- Takhar Kasumov4 shared
Most similar at University Of Texas Med Br Galveston
Same institution · by research overlap
- Grant Leslie Hughes$899,072
- Elizabeth J. Lyons$2,313,725
Others in their field
Top investigators on “In Vivo”
- David Heimbrook · Leidos Biomedical Research, Inc.$371,850,582
- Leonard Freedman · Leidos Biomedical Research, Inc.$304,459,298
- Dennis R. Burton · Scripps Research Institute$212,708,174
- Mark S Klempner · Tufts Medical Center$128,021,180
- Florian Krammer · Icahn School Of Medicine At Mount Sinai$104,723,856
- David M. Margolis · University Of Texas Sw Med Ctr/Dallas$98,374,200
Research focus
In VivoDeuteriumIsotopesMetabolicProtein DegradationCoupledPeptidesProteinsDeuterium OxideProteomeLabelLinkBioinformaticsBaseComplexMethodologyExperimental StudyComputer SoftwareBioinformatics ToolIonsEquationData AnalysesAmino AcidsData Integration
Grant awards (10)
Protein turnover estimation from fragment ions and precursor enrichment in heavy water labeled LC-MS experiments$372,285
R01 · FY2025 · GM · contact PI
Protein turnover estimation from fragment ions and precursor enrichment in heavy water labeled LC-MS experiments$387,375
R01 · FY2024 · GM · contact PI
Novel computational methods for in vivo proteome dynamics estimation using heavy water metabolic labeling and LC-MS$355,500
R01 · FY2023 · GM · contact PI
Novel computational methods for in vivo proteome dynamics estimation using heavy water metabolic labeling and LC-MS$355,500
R01 · FY2022 · GM · contact PI
Novel computational methods for in vivo proteome dynamics estimation using heavy water metabolic labeling and LC-MS$355,500
R01 · FY2021 · GM · contact PI
Novel computational methods for in vivo proteome dynamics estimation using heavy water metabolic labeling and LC-MS$355,500
R01 · FY2020 · GM · contact PI
Data-Driven Models of the Dynamic Proteome in NAFLD$312,660
R01 · FY2018 · GM · contact PI
Data-Driven Models of the Dynamic Proteome in NAFLD$312,660
R01 · FY2017 · GM · contact PI
Data-Driven Models of the Dynamic Proteome in NAFLD$312,660
R01 · FY2016 · GM · contact PI
Data-Driven Models of the Dynamic Proteome in NAFLD$326,410
R01 · FY2015 · GM · contact PI